Order Schedule on Multi-Mixed-Model Assembly Lines in Assembly-to-Order Enviroments
An order schedule problem in a short planning period on multi-mixed-model assembly lines under assembleto-order environments is discussed. Each line is characterized by different start time, cycle time and operation cost We seek to minimize the total assembly cost and assembly time for certain orders. A mathematic model is proposed firstly. Then, a hybrid multi-objective genetic algorithm composed on doublegeneration and an elitist strategy is then developed to solve this problem. Finally, an industrial case study demonstrates its optimality and computational efficiency.
multi-mixed-model assembly line order schedule problem multi-objective evolution
Guicong Wang Huanyong Cui Pengfei Xu
School of Mechanical Engineering University of Jinan Jinan, Shandong Province 250022 China
国际会议
西安
英文
563-566
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）